1719 results about "Air pollution" patented technology

The present invention belongs to the technical field of environmental monitoring, in particular to an environmental monitoring device for air pollution, comprising a monitoring frame, a monitoring shell arranged on a top end of the monitoring frame and an environmental monitor fixedly installed inside the monitoring shell through a connecting plate. An air sampling assembly is installed inside the environmental monitor; the air sampling assembly comprises air intake covers, and an electric push rod, a rack I, a gear I, a spur gear, an internal gear, a rotating disk, limiting blocks, limiting rods, a cross limiting track, an L-shaped frame and a strip-shaped plate which are used for driving the air intake covers. A cleaning assembly is installed on the air sampling assembly.

The invention discloses an urban pollution source dynamic distribution regulation and control method based on reinforcement learning, and the method comprises the following steps: S1, collecting source data of air pollution, carrying out the preprocessing, and constructing a pollution data set; s2, performing time sequence prediction on the pollution data set by using an improved Informer network; s3, calculating the influence degree of different pollution sources on the air quality, and constructing a pollution source regulation and control task data set; s4, establishing a game theory multi-agent reinforcement learning environment, optimizing a pollution source agent regulation and control strategy by using Nash equilibrium, optimizing a reward mechanism based on pollution historical data, and dynamically adjusting the pollution source regulation and control strategy; s5, calculating a pollution source adjustment scheme, and optimizing pollution regulation and control parameters; and S6, executing the pollution regulation and control strategy, and performing iterative optimization. According to the method, the improved Informer network and game theory multi-agent reinforcement learning are combined, accurate prediction of the pollutant concentration and intelligent regulation and control of the pollution source are realized, and the method has the advantages of high precision, high adaptability and global optimization capability.

The invention relates to a denitration catalyst capable of resisting alkali metal, water and sulfur composite poisoning and a preparation method and application thereof, and belongs to the field of environment-friendly catalytic materials and air pollution control. An organic solvent is used as a template agent, cerium oxide, manganese oxide and tungsten oxide are used as active components, and a cerium-manganese-tungsten composite oxide active component with a porous structure and strong acidity is prepared by a coprecipitation-soft template method. The catalyst has a wide denitration temperature window, high denitration efficiency and excellent composite poisoning resistance stability. The catalyst component is environment-friendly, low in cost and simple in preparation method, and is particularly suitable for stable and efficient purification of NOx in complex flue gas in the cement industry.

The invention relates to the technical field of mining area pollution monitoring, and discloses an atmospheric pollution monitoring system based on a mining area and a monitoring method thereof.The atmospheric pollution monitoring system based on the mining area comprises the steps that firstly, geographic environment data, outdoor environment data and well area environment data are obtained through a network deployment module and stored; the real-time transmission module is used for preprocessing the acquired data and transmitting the preprocessed data to the comprehensive analysis module, and the comprehensive analysis module is used for analyzing the atmospheric pollution index, judging whether to send out pollution early warning or not according to the calculation result of the atmospheric pollution index, and sending out a pollution alarm signal under the condition that the pollution early warning needs to be sent out; the mining area air pollution monitoring system can comprehensively monitor the mining area air pollution in a multi-dimensional manner, accurately identify the main pollution source and the dynamic change of the main pollution source, break through the limitation of traditional fixed site monitoring, flexibly capture the spatial and temporal change of the mining area pollution, accurately identify the pollution source, improve the monitoring accuracy and improve the monitoring efficiency. And an alarm signal is sent timely.

The invention relates to the technical field of data processing, in particular to an abnormal data processing system for atmospheric pollution monitoring, which comprises the following steps: acquiring a concentration sequential sequence and a standard sequential sequence of gas; performing preliminary evaluation on the concentration time sequence to obtain a preliminary abnormal degree; sequentially carrying out segmentation and fitting on the concentration time sequence to determine subsequences and a target curve; dividing a segmentation sequence based on the target curve, and segmenting a matching sequence; based on the change of the correlation between the segmentation sequence and the standard time sequence along with time, analyzing the offset characteristic of the gas concentration change trend to determine the trend time sequence offset degree, and combining the normal distribution fitting result of the concentration time sequence to determine the detection influence weight; and acquiring abnormal data in the concentration data of each gas at the monitoring point according to the detection influence weight and the initial abnormal degree. According to the method, the decision weight of the isolated tree is adaptively determined, so that the detection accuracy of the abnormal data in the concentration data is improved.

The invention discloses an energy-saving air pollution monitoring device based on environmental protection, which comprises a load-bearing energy supply mechanism, the load-bearing energy supply mechanism comprises a load-bearing platform, the top of the load-bearing platform is provided with a monitoring protection mechanism, the top of the load-bearing platform is fixedly connected with a linkage top frame, the top of the linkage top frame is provided with a circular ring opening, and the top of the linkage top frame is fixedly connected with the monitoring protection mechanism. The invention relates to the technical field of air pollution monitoring. According to the energy-saving air pollution monitoring device based on environmental protection, the load-bearing energy supply mechanism and the monitoring protection mechanism are combined for use, and the solar panel can be used for auxiliary power supply through the arrangement of the two mechanisms, so that the energy-saving performance is achieved; and meanwhile, the driven motor can drive the air monitoring sensor to ascend and descend to monitor air at different heights, meanwhile, the isolation net barrel and the scraper arc plate can rotate mutually through linkage between the structures, the air monitoring sensor is protected, and the influence of external factors on the air monitoring sensor is reduced.

The invention relates to the technical field of air pollution prevention and control, in particular to a sewage deodorization system and method based on a biological filter, and the system comprises a data acquisition module, a system preprocessing module, a system deodorization effect evaluation module, a system operation performance evaluation module, a system efficiency comprehensive analysis and processing module and a system database. According to the sewage deodorization system and method based on the biological filter, the system performance and the deodorization efficiency are comprehensively analyzed, and comprehensive system energy efficiency evaluation is provided. By analyzing the two indexes, the strong and weak points of the system can be identified, so that the resource configuration is optimized, and the overall efficiency of the system is improved. The deodorization effect and the operation performance are comprehensively considered, and more comprehensive and more accurate decisions can be made. By improving the deodorization effect, adverse effects on the surrounding environment and residents can be reduced. Meanwhile, the good operation performance can help to reduce the maintenance and operation cost.

The invention relates to the technical field of air pollution control, in particular to a risk-oriented industrial park VOCs comprehensive tracing method and system, and the method comprises the steps: setting monitoring distribution points and monitoring elements, and carrying out the monitoring of the monitoring elements through a preset monitoring method; setting risk factors, and evaluating the risk factors according to the monitored monitoring factors; performing risk source quantitative traceability to generate a risk source quantitative traceability result; wherein the risk source quantitative traceability comprises PMF source analysis, receptor and pollution source component spectrum matching, risk source comprehensive contribution evaluation and risk source space matching; performing risk assessment uncertainty and sensitivity analysis on a risk source quantitative traceability result; according to a risk assessment uncertainty and sensitivity analysis result and a risk source quantitative tracing result, adopting IMTs to formulate a comprehensive emission reduction method for VOCs in the industrial park; according to the scheme, VOCs in the industrial park can be precisely traced, the uncertainty is reduced, and the fine control capability of pollutants in the industrial park is improved.

An indoor air cleaning system, including: plural gas detectors which are disposed in indoor and outdoor fields for detecting air pollution information and outputting through IoT; a circulation back-flow channel; a circulation filter device disposed in the circulation back-flow channel; an air conditioning device disposed in indoor field for temperature and humidity adjustment; and a cloud computing server device receiving the air pollution information through IoT to form a database of the air pollution information, and receiving the temperature and humidity information outputted from the air conditioning device. The cloud computing server device compares the database and the temperature and humidity information, and outputs a control command to enable the circulation filter device. Internal circulation directional airflows are generated in the indoor field, the air pollution is guided to pass through the circulation filter device multiple times, and the ZAPClean Room 1˜9 of indoor field is achieved.

The invention belongs to the field of industrial waste gas treatment, and particularly relates to an industrial waste gas treatment device for preventing atmospheric pollution and an operation method thereof.The industrial waste gas treatment device comprises a shell, the top of the shell is fixedly connected with an air pump, the output end of the air pump is connected with an air exhaust pipeline, and one end of the air exhaust pipeline extends into the shell; according to the industrial waste gas treatment device for preventing atmospheric pollution and the operation method of the industrial waste gas treatment device, a closed loop is formed through the four nozzles to spray limestone slurry to gas flowing upwards, the gas enters the shell along the gas inlet groove and then flows downwards along the arc-shaped surface at the bottom of the guide ring, and the gas impacts on the limestone slurry in the first liquid accumulation cavity; sulfur dioxide in gas reacts with limestone slurry, gypsum and the limestone slurry are separated by controlling rotation of a containing plate, the containing plate drives a plurality of first spoilers to rotate while rotating, part of the gas is pushed to impact downwards, and the gas makes contact with the limestone slurry circulating along a flow blocking ring; therefore, the reaction time of the gas and the limestone slurry is prolonged.

The invention discloses a navigation vehicle path planning method based on real-time traceability, and relates to the technical field of environment monitoring, and the method specifically comprises the following steps: collecting VOCs hotspot grids, industrial park limit values and limits, and historical navigation monitoring data; calculating a VOCs concentration high value point of the control area; generating a VOCs concentration space thermodynamic diagram and displaying the VOCs concentration space thermodynamic diagram on a GIS map; a key VOCs management and control area is visually marked with a GIS map as the background; establishing medium-scale and small-scale air pollution transmission simulation in combination with continuously updated precise regional pollution source lists; the pollution source and the contribution ratio are analyzed in real time, and the navigation path is planned according to the pollution source and the contribution ratio. According to the invention, through analysis of monitoring station data, pollution concentration hot spots and key management and control areas are identified and monitored, pollution sources are further searched based on a traceability model, and the problem of lack of planning of a navigation area is reduced; by designing the underway path planning and optimization algorithm, the underway route is automatically generated in the background, and the dependence of underway command on experience is reduced.

The invention relates to the technical field of air pollution tracing, and particularly discloses an air pollution source accurate tracing method and system, and the system comprises a multi-source data monitoring module, a multi-source data analysis module, a pollution tracing comprehensive analysis module, a pollution diffusion model verification optimization module, and a pollution tracing analysis module. By comprehensively considering various factors, setting a proportionality coefficient to calculate a pollution traceability comprehensive index and comparing the pollution traceability comprehensive index with a threshold value, a pollution traceability area and a potential area can be effectively marked, simulation concentration is calculated according to actual parameters in combination with the verification and optimization process of a pollution diffusion model, a root-mean-square error is reduced by adjusting a source intensity value, and a pollution source diffusion coefficient is increased. According to the method, the model is continuously optimized, so that the model better fits the actual situation, finally, the real pollution source is determined according to the acceptable threshold value, scientific and accurate basis and method are provided for air pollution control, and improvement of the control efficiency and effect and improvement of the atmospheric environment quality are facilitated.

The invention relates to the technical field of air quality detection, in particular to an air quality risk early warning and treatment integrated method and system. The method comprises the following steps: acquiring regional air collection sample data, analyzing the evolution difference of air components among regions, and determining the dynamic response characteristics of air dominant factors; air multi-period pollution superposition conditions are detected according to the dynamic response characteristics of the dominant factors, the air quality pollution risk growth trend is identified, and the ecological influence gradient growth trend is estimated; performing air quality risk assessment on the corrosion and aging trend of the peripheral equipment to obtain air quality abnormal state assessment data; abnormal conditions of air pollution sources are recognized, and pollution source grade classification is formed; formulating air quality treatment strategy data according to the abnormal risk data and the pollution source identification condition, and executing response treatment measures; through air quality risk early warning, air quality treatment is more efficient.

The invention discloses an atmospheric pollution trend analysis method and system, and relates to the technical field of atmospheric pollution trend analysis, and the method comprises the steps: collecting multi-source data in a target region, calculating the concentration change rate of all nodes by using the law of conservation of mass, updating the concentration of the nodes by using an Euler method, and inputting the updated concentration of the nodes into a pre-trained GCN model, calculating the optimized concentration and production abnormity list; modulating a propagation weight by using a Hebbian learning rule, modulating the optimized concentration by using the modulated weight, calculating a joint concentration by using a conservation type path flux method, combining the joint concentration by using a weighted linear combination, and calculating the joint concentration; and constructing a long-short-term memory network model to predict the future trend of the pollutants. The space gridding and the graph neural network are introduced, the recognition and control capability of the pollution source is improved, and the prediction precision and reliability of the analysis model are enhanced by combining the diffusion flux model and the convection flux model.

The invention relates to the technical field of visualization of an air pollution information distribution state, in particular to a visualization method based on the air pollution information distribution state. The method comprises the following steps: acquiring atmospheric pollution information through a remote sensing technology to obtain atmospheric pollution data, and constructing an atmospheric pollution geographic position topological graph in combination with atmospheric pollution geographic feature analysis; through diffusion analysis and distribution state analysis, a pollutant hot spot area is further identified, the acid rain forming probability and air quality attenuation data are calculated, and therefore the pollution degree of a high-concentration area is evaluated; atmospheric pollution risk assessment is carried out through analysis of atmospheric pollution information abnormal data, and an assessment result is uploaded to a cloud platform for real-time early warning; according to the method, the air pollution distribution is identified and optimized, so that the air pollution information is identified more accurately.

The invention belongs to the technical field of asphalt pavement repairing, and particularly relates to a local repairing technology of an asphalt pavement, which comprises the following specific contents: detecting a disease range by adopting ground three-dimensional laser scanning or ground penetrating radar, determining a repairing boundary, sampling and detecting the aging degree, the moisture content and the grading type of the asphalt of the original pavement, and determining the repairing quality of the asphalt pavement. According to the method, the bonding strength of the repairing material and the asphalt layer of the original pavement is enhanced by heating and activating the interface of the original pavement and emulsifying the asphalt bonding layer, and matching the repairing material with the shrinkage coefficient of the original pavement and reinforcing and compacting the edge, so that the condition that the repaired position is cracked, loosened and damaged in a short time is avoided; warm-mixed asphalt is adopted, the heating temperature is reduced by 40-60 DEG C, cold-mixed emulsified asphalt is popularized, and the asphalt does not need to be heated, so that release of a large amount of volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs) and dust is effectively avoided, and air pollution is avoided.

An indoor air cleaning system is disclosed and includes an air pollution treatment device, and a networked cloud computing service device. The air pollution treatment device includes an air cleaning device, a central control and regulation device and a communication module for detecting, locating, circulating and filtering the air pollution in an indoor field. A gas detection module detects and transmits air pollution data to the communication module. The central control and regulation device communicates with and controls the gas detecting module, to control the air cleaning device for filtration. The networked cloud computing service device receives and stores the air pollution data to form an database. A control command is intelligently selected, and transmitted to the gas detection module. Consequently, the air cleaning device is controlled to filter the air pollution, and a gas state in the indoor field reaches a clean room requirement of ZAPClean Room 1˜9.

The invention discloses a historical landscape risk assessment and early warning system based on big data, relates to the field of data mining and risk management, and solves the problems that feature extraction is difficult to carry out on various preprocessed data, corresponding pollution risk indexes are difficult to obtain through model construction and calculation, and the risk assessment and early warning efficiency is high. In order to solve the technical problems that a historical landscape risk prediction model is difficult to construct through various characteristic pollution risk indexes, and classification and early warning are performed on historical landscape risk degrees, the system comprises the following modules: a data acquisition and processing module, which is used for acquiring and preprocessing various data in combination with a remote sensing GIS (Geographic Information System) technology; the data analysis module is used for analyzing data to obtain an air pollution risk index, a terrain risk index and a comprehensive biological imbalance risk index; the feature model prediction module is used for constructing a historical landscape risk prediction model by using multiple risk indexes to obtain a prediction value; and the risk assessment and early warning module is used for carrying out classification and early warning on the risk degrees of the historical landscapes.

The invention discloses a space-time sandstorm event AI forecasting method fusing satellite remote sensing and meteorological data, and relates to the technical field of atmospheric pollution prediction and artificial intelligence. In order to solve the problem that multi-source space-time sand and dust data is difficult to model efficiently in the existing method, the invention designs a sand and dust storm forecasting model DustMama based on a multi-task architecture, and aims to predict the future PM10 concentration and the occurrence condition of the sand and dust storm through the combination of satellite remote sensing and meteorological data. The DustMama is composed of a space-time encoder, a feature aggregation layer and a task specific layer. The space-time encoder is combined with the visual Mamba and the three-dimensional convolutional network, so that the space-time dependent information in the multi-source data can be efficiently extracted. The feature aggregation layer adopts a global attention module to enhance the capability of the model in cross-dimension feature interaction. And the task specific layer is based on an independent two-dimensional convolution predictor so as to realize accurate prediction of different sand and dust tasks.

The invention discloses a flue gas sulfur dioxide concentration prediction method based on variational mode decomposition and integrated learning, which comprises the following steps: for a flue gas SO2 concentration sequence collected in a flue gas desulfurization system, firstly decomposing the time sequence into a plurality of internal mode functions by using a variational mode decomposition method; then, a feedforward cascade neural network, a long short-term memory network and an autoregressive integral moving average model are used as base learners, and the dynamic characteristics of each modal function are learned; and finally, training element learners based on prediction results of all the base learners, and establishing an integrated model of each modal function. And recombining the predicted values of all the integrated models to realize the prediction of the SO2 concentration of the discharged flue gas. Accurate prediction of sulfur dioxide in discharged flue gas is beneficial to reduction of air pollution, prevention of formation of acid rain and protection of an ecological system and biological diversity. By adopting emission reduction measures and optimizing the production process in advance, enterprises can reduce the environmental protection treatment cost and improve the green production level.

The invention relates to the field of park management, and particularly discloses a smart park management system and method based on the Internet of Things, and the method comprises the steps: firstly obtaining park air quality parameter data collected by a plurality of sensors and park noise parameter data, collected by a sound sensor, at a plurality of preset time points, and then employing a deep learning technology to carry out the recognition of the park air quality parameter data and the park noise parameter data; and feature extraction and correlation analysis are carried out on the two parameters, and finally, whether to send out park environment detection early warning is judged through a classifier, so that the air pollution problem is found in time, related personnel are helped to quickly respond, and the health of park residents is protected.

The invention provides phosphorus-doped hydrothermal synchronously-activated hierarchical pore green biochar, a preparation method thereof and application of the phosphorus-doped hydrothermal synchronously-activated hierarchical pore green biochar in formaldehyde adsorption, and belongs to the technical field of biomass resource high-value utilization and air pollution control. The preparation method comprises the following steps: mixing a biomass raw material with a phosphoric acid catalyst, carrying out hydrothermal carbonization reaction, carrying out solid-liquid separation on a reaction product after the reaction is finished, collecting a solid-phase material, drying, mixing with potassium hydroxide, activating, washing and drying the obtained product, and thus obtaining the phosphorus-doped hydrothermal synchronously-activated hierarchical porous green charcoal. Phosphoric acid is introduced in the hydrothermal stage to serve as a structure-directing agent and a doping source, uniform doping of phosphorus and coordinated regulation and control of a pore structure are achieved, a hierarchical pore channel system is formed in the subsequent activation process, and the physical adsorption and chemical fixation capacity of the biochar to formaldehyde molecules is greatly improved.

The invention discloses a tracing method and system for atmospheric pollution in a chemical industry park, and relates to the technical field of tracing of atmospheric pollution. The method comprises the following steps: determining at least one first pollution source according to an enterprise-pollutant-raw material incidence matrix and at least one pollutant in the chemical industry park; and according to the real-time pollutant concentration data and a Gaussian diffusion model simulation result, screening out an enterprise with a relatively high fitting degree with the real-time pollutant concentration data, and according to a screening result, determining at least one second pollution source. And determining at least one third pollution source according to the position of the at least one pollution source. And determining at least one fourth pollution source in the high-concentration change area. And determining a pollution traceability result. According to the invention, multi-source data are fused to trace the air pollution, the comprehensiveness and timeliness of the data are ensured, and the accuracy of pollution traceability can be improved.

The invention relates to a soil greenhouse gas emission flux detection experiment system, and belongs to the field of air pollution detection. The experimental system is used for detecting soil greenhouse gas emission flux in a potted plant and comprises a gas analysis device, a static camera bellows and a gas collection device, the static camera bellows and the gas collection device correspond to the potted plant, and the static camera bellows is used for collecting greenhouse gas emitted from the potted plant in a closed mode. A greenhouse gas sample in the static camera obscura is collected into the gas analysis device through the gas collection device, and a soil turning mechanism is arranged in the static camera obscura. The experimental system is used for performing pre-experiment on potted plants without applying soil amendments, then applying different soil amendments to the potted plants with consistent detection results, performing formal soil greenhouse gas emission flux detection experiment, and uniformly distributing the soil amendments through the soil turning mechanism, so that experimental errors are reduced, and the experimental efficiency is improved. The detection precision of the greenhouse gas emission flux of the soil under the application of different soil amendments is improved.

The invention relates to the technical field of air pollution control, and discloses adjustable uniform spraying equipment for air pollution prevention and control, the adjustable uniform spraying equipment comprises a mounting seat, the front side and the rear side of the bottom of the mounting seat are fixedly connected with a transfer arc pipe and a T-shaped spraying main pipe which communicate with each other, and the front side of the mounting seat is provided with a movable cavity; a plurality of sprayers capable of swinging are arranged on the circumference of the front side of the movable cavity in an array mode, conical head plug rods are movably arranged in the sprayers, and pressurizing bins are arranged on the left side and the right side of the movable cavity. During spraying, all the spray heads arranged in an arc shape start to swing in a matched mode, and the spraying effect is enhanced; during spraying, air is automatically pressed in to be mixed with water, interference of high-pressure air on water mist is avoided, and the spraying and atomizing effect is better; each conical head plug rod is used for adjusting the release flow of the spray head from the inside, and different water mist forms can be obtained as required, so that the spraying effect is improved; and a pre-stirring mechanism is adopted, so that the spraying treatment effect is prevented from being influenced by non-uniform components of the treatment liquid.

The invention relates to an air pollution control purification tower, and belongs to the technical field of air pollution control, the air pollution control purification tower comprises a purification tower main body and a tower cover fixedly mounted at the top of the purification tower main body, a purification barrel is fixedly mounted in the purification tower main body, and an air outlet pipe extending to the outside of the tower cover is fixedly mounted in the tower cover; a first cleaning mechanism which extends into the purification barrel and is used for cleaning the inner wall of the purification barrel is arranged on one side of the purification tower main body. According to the air pollution control purification tower, the controller controls an axial flow fan to start to work to drive a flow guide pipe to rotate, meanwhile, the controller controls a booster pump to start to work to convey a purification barrel in a liquid storage tank into the flow guide pipe through a connecting pipe and a hose, and then spraying is conducted through spraying holes, so that the purification reaction is promoted, and the purification effect is improved. The reaction rate of the purification barrel is effectively increased, the overall purification effect of the purification barrel is effectively improved, and the advantages of high purification speed and good purification effect are achieved.

The invention discloses an air pollution monitoring device for environmental protection, and relates to the technical field of air pollution monitoring, the air pollution monitoring device comprises a protection sweeping mechanism and an air monitoring mechanism, the protection sweeping mechanism comprises the air monitoring mechanism, the protection sweeping mechanism comprises a stable bottom plate, and the top of the stable bottom plate is fixedly connected with a protection cylinder. According to the air pollution monitoring device for environmental protection, through combined use of the protection sweeping mechanism and the air monitoring mechanism, a threaded rod can be used for driving two blocking and protecting frames to rotate, and in the process, a threaded sleeve and an air monitoring sensor are made to ascend and descend in a reciprocating mode to monitor air at different heights; and the air monitoring sensor can be protected through the arrangement of filtering air holes, dust and impurities are prevented from being attached to the surface of the air monitoring sensor, and meanwhile air storage is conducted on the air bag through pressing of an inflating pump and a convex top block.

The utility model provides mixing equipment with a cleaning mechanism for ABS (Acrylonitrile Butadiene Styrene) resin production, which relates to the technical field of ABS resin production and is characterized in that a mixing tank is arranged in the base, a tank cover is detachably connected to the top of the mixing tank, a feeding cylinder is fixedly connected to one side of the top of the tank cover, and a connector is fixedly connected to the position, opposite to the feeding cylinder, of the top of the tank cover; and the connector is communicated with the interior of the mixing tank. According to the equipment, the mixing tank can be cleaned through the cleaning assembly, ABS resin attached to the inner wall of the mixing tank can be cleaned, and the situation that the product quality is not pure and the color, transparency, mechanical performance and the like of a final product are affected due to the fact that the ABS resin remaining on the inner wall of the mixing tank is mixed into resin of a subsequent batch is avoided; and raw materials can be added during stirring through the feeding assembly and can be added in a closed state, so that pungent and harmful gas leakage during adding is avoided, and air pollution is avoided.

The invention discloses a PM2.5 forecasting method based on weather circulation and a stability index, and relates to the technical field of air pollution prevention and control, and the method comprises the steps: carrying out the calculation according to the monitoring data of a target region, obtaining a sea level air pressure distance flat field of the target region, carrying out the clustering, and obtaining a weather type; calculating the circulation index value of each meteorological station, and determining the circulation type of the target area; calculating an atmospheric stability index of the target area, and determining a K index interval of the target area; according to the PM2.5 concentration time sequence of each monitoring point position in the target area, establishing a PM2.5 concentration historical data set by matching weather typing, circulation typing and a K index interval of corresponding time; and according to meteorological observation data of a future time period, calculating a weather type, a circulation type and a K index interval of the future time period, and searching a PM2.5 concentration historical data set to obtain a PM2.5 concentration prediction result. The prediction time can be shortened, and the interpretability of the prediction result can be improved.

The invention discloses an atmospheric pollution source tracing system and method based on an unmanned aerial vehicle. The system comprises an airborne atmospheric monitoring module used for acquiring atmospheric data; the ground station system is used for monitoring whether the flight state of the unmanned aerial vehicle is normal or not, sending state information to the unmanned aerial vehicle control platform and receiving and storing atmosphere data; the airborne atmosphere monitoring module is loaded on the unmanned aerial vehicle, the unmanned aerial vehicle is controlled to fly through the unmanned aerial vehicle control platform, and the unmanned aerial vehicle control platform controls the unmanned aerial vehicle in real time according to state information; the data processing module is used for preprocessing the atmosphere data; and the traceability analysis module is used for carrying out pollution source traceability analysis according to the preprocessed atmosphere data to obtain the position of the pollution source. According to the invention, accurate pollution source positioning and pollutant diffusion simulation provide a scientific basis for the formulation and execution of environmental policies, and the air pollution can be more effectively controlled and reduced.